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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

Question 1

What is the primary purpose of the Airflow Scheduler in Apache Airflow?

A. To monitor the state of tasks and trigger them based on their dependencies
B. To distribute tasks across workers for execution
C. To execute the code for each task in a DAG
D. To provide a user interface for monitoring and managing DAGs

Question 2

In the context of Spark, what is a potential downside of indiscriminate use of data caching, especially with the MEMORY_AND DISK storage level?

A. It can decrease network traffic by reducing the need for data shuffling.
B. It can lead to reduced fault tolerance due to reliance on in-memory storage.
C. It may increase execution time due to overheads from frequent disk 1/0 operations.
D. It enhances data security by storing intermediate results in encrypted form.

Question 3

How does Hive handle bucketing when the data inserted into a bucketed table does not evenly distribute across the buckets?

A. Hive dynamically adjusts the number of buckets to evenly distribute the data.
B. Hive distributes the data based on the hash value of the bucketing column, potentially leading to skewed buckets.
C. Hive automatically rebalances the data across buckets using a round-robin distribution.
D. Hive rejects the data insertion and raises an error.

Question 4

Which Spark component is responsible for managing the execution of tasks on worker nodes?

A. Spark Driver
B. spark SQL
C. Spark Core
D. Spark Executor

Question 5

Consider the following code snippet:# Sample DataFrame (assuming it exists) df = spark.createDataFrame(...)
# Attempt to add a new column with a case-when expression (fix the error) df = df.withColumn("category", F.when(df["price"] ] 100, "Expensive").otherwise("Cheap")) df.show() What is the error in this code, and how can it be fixed?

A. The error is missing parentheses around the conditions in the when function. Fix: F.when((df["price"] ] 100), "Expensive").otherwise("Cheap")
B. The error is using the wrong syntax for case-when expressions. Fix: Use SQL-like syntax with CASE WHEN and END.
C. There is no error in the code snippet.
D. The error is attempting to modify the original DataFrame in-place. Fix: Use df.withColumn to create a new DataFrame with the added column.

Solutions: